Implement N+1 query optimization and response caching strategies
- Added QUERY_PATH_MAP.md to document query execution paths and analysis. - Created QUICK_START.md for a quick guide on N+1 optimization implementation. - Introduced RESPONSE_CACHING_STRATEGY.md outlining caching strategies for API endpoints. - Developed TECHNICAL_REFERENCE.md detailing changes made in DtoService.cs for N+1 optimization. - Optimized item counts retrieval by batching queries, reducing database load significantly. - Implemented caching for child counts to minimize repeated database queries. - Enhanced performance metrics showing substantial improvements in query counts and page load times.
This commit is contained in:
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# Response Caching Optimization Strategy
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## Overview
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While N+1 batching fixes query execution patterns, response-level caching prevents queries from running at all. This document outlines caching strategies for common Jellyfin API endpoints to further reduce database load during page loads.
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---
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## 1. Caching Opportunities
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### High-Impact Caching Targets (Easy Wins)
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#### 1.1 Home Page Item Lists
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These rarely change but are queried frequently:
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```csharp
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// Current Implementation (in Jellyfin.Api/Controllers)
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public ActionResult<ItemsResult> GetItems(
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[FromQuery] string? includeItemTypes,
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[FromQuery] int limit = 16)
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{
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// Execute query every time
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var items = _libraryManager.GetItems(filter);
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return Ok(items);
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}
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// Recommended: Add Response Caching
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[ResponseCache(Duration = 30, Location = ResponseCacheLocation.Any, VaryByHeader = "Authorization,Accept")]
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public ActionResult<ItemsResult> GetItems(
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[FromQuery] string? includeItemTypes,
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[FromQuery] int limit = 16)
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{
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var items = _libraryManager.GetItems(filter);
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return Ok(items);
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}
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```
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**Cache Duration Recommendations:**
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- Recently added: 30 seconds (updates frequently)
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- Recommendations: 60 seconds
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- Continue watching: 30 seconds (user-specific)
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- Collections: 5 minutes
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- Genres: 10 minutes (rarely changes)
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#### 1.2 User-Specific Data
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These depend on user and should be cached per-user:
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```csharp
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private readonly IDistributedCache _cache;
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public async Task<ItemsResult> GetResumeItems(string userId)
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{
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var cacheKey = $"resume_{userId}";
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var cached = await _cache.GetStringAsync(cacheKey);
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if (cached != null)
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{
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return JsonConvert.DeserializeObject<ItemsResult>(cached);
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}
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var items = _libraryManager.GetResumeItems(userId);
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// Cache for 30 seconds
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await _cache.SetStringAsync(cacheKey, JsonConvert.SerializeObject(items),
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new DistributedCacheEntryOptions
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{
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AbsoluteExpirationRelativeToNow = TimeSpan.FromSeconds(30)
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});
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return items;
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}
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```
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### Medium-Impact Caching Targets (Moderate Complexity)
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#### 1.3 Library Statistics
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Change infrequently but used frequently:
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```csharp
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[ResponseCache(Duration = 300)] // 5 minutes
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public ActionResult<object> GetLibraryStats()
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{
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// Expensive aggregation query
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var stats = new
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{
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MovieCount = libraryManager.GetItemCount(i => i is Movie),
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SeriesCount = libraryManager.GetItemCount(i => i is Series),
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EpisodeCount = libraryManager.GetItemCount(i => i is Episode),
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};
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return Ok(stats);
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}
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```
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#### 1.4 Browse/Navigation Data
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Metadata about libraries and collections:
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```csharp
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[ResponseCache(Duration = 600)] // 10 minutes
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public ActionResult<CollectionsResult> GetCollections()
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{
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var collections = _libraryManager.GetCollections();
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return Ok(collections);
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}
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```
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---
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## 2. Implementation Strategies
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### Strategy A: HTTP Response Caching (Simplest)
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**Pros:**
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- HTTP standard (understood by proxies, CDNs)
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- Browser caches responses automatically
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- Zero code changes needed (just add attribute)
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- Works across multiple server instances
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**Cons:**
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- Cache key limited to URL + headers
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- Can't cache POST requests easily
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- Some clients ignore cache headers
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**Implementation:**
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```csharp
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using Microsoft.AspNetCore.Mvc;
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// In Startup.cs ConfigureServices()
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services.AddResponseCaching();
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// In Configure()
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app.UseResponseCaching();
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// On endpoints
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[ResponseCache(
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Duration = 30, // 30 seconds
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Location = ResponseCacheLocation.Any, // HTTP layer
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VaryByHeader = "Authorization,Accept")] // Vary by user/format
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public ActionResult<ItemsResult> GetItems(...)
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{
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// ...
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}
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```
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**Current Status**: ⏳ Not yet implemented (recommended quick win)
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### Strategy B: Distributed Cache (Scalable)
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**Pros:**
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- Works across multiple servers
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- Survives server restarts
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- Cache invalidation possible
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- Can cache complex objects
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**Cons:**
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- Requires Redis or similar service
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- Slightly more complex
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- Network latency (though minimal)
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**Implementation:**
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```csharp
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public class CachedLibraryController : ControllerBase
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{
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private readonly IDistributedCache _cache;
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private readonly ILibraryManager _libraryManager;
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[HttpGet("Items")]
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public async Task<ActionResult<ItemsResult>> GetItems(
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[FromQuery] string userId,
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[FromQuery] string? includeItemTypes,
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[FromQuery] int limit = 16)
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{
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var cacheKey = $"items_{userId}_{includeItemTypes}_{limit}";
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var cached = await _cache.GetStringAsync(cacheKey);
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if (cached != null)
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{
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return Ok(JsonSerializer.Deserialize<ItemsResult>(cached));
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}
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var items = await _libraryManager.GetItemsAsync(
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new ItemFilter { IncludeItemTypes = includeItemTypes, Limit = limit });
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await _cache.SetStringAsync(cacheKey,
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JsonSerializer.Serialize(items),
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new DistributedCacheEntryOptions
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{
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AbsoluteExpirationRelativeToNow = TimeSpan.FromSeconds(30)
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});
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return Ok(items);
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}
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}
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```
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**Current Status**: ⏳ Not yet implemented (recommended for multi-server setups)
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### Strategy C: In-Memory Caching (Current)
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**Pros:**
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- Fastest (in-process)
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- Zero network latency
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- Simple to implement
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**Cons:**
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- Single-server only
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- Lost on restart
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- Already using for ChildCount
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**Implementation:**
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```csharp
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private readonly IMemoryCache _cache;
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public ActionResult<ItemsResult> GetItems(...)
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{
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var cacheKey = $"items_{cacheParams}";
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if (_cache.TryGetValue(cacheKey, out ItemsResult? cached))
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{
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return Ok(cached);
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}
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var items = _libraryManager.GetItems(...);
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_cache.Set(cacheKey, items,
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new MemoryCacheEntryOptions
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{
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AbsoluteExpirationRelativeToNow = TimeSpan.FromSeconds(30),
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SlidingExpiration = TimeSpan.FromSeconds(10)
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});
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return Ok(items);
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}
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```
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**Current Status**: ✅ Using for ChildCount (could expand)
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---
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## 3. Cache Invalidation Strategy
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### Automatic Invalidation Points
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**When to Invalidate Cache:**
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```csharp
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public class CacheInvalidationService
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{
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private readonly IDistributedCache _cache;
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private readonly ILogger _logger;
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// Called when items are added/modified/deleted
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public async Task OnItemChanged(BaseItem item)
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{
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var keysToInvalidate = new[]
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{
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// Invalidate all item lists that might include this item
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$"items_*",
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$"resume_*",
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$"recent_*",
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// Invalidate stats if item type changed
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$"stats_*",
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// Invalidate parent folder caches
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$"items_{item.ParentId}_*"
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};
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foreach (var pattern in keysToInvalidate)
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{
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// Note: Most IDistributedCache don't support wildcards
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// Implement pattern matching or use explicit keys
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_logger.LogInformation("Invalidating cache pattern: {Pattern}", pattern);
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}
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}
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// Called on library refresh
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public async Task OnLibraryRefresh()
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{
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await _cache.RemoveAsync("items_*");
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await _cache.RemoveAsync("stats_*");
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await _cache.RemoveAsync("recent_*");
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}
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// Called on user logout
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public async Task OnUserLogout(string userId)
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{
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// Clear all user-specific caches
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await _cache.RemoveAsync($"resume_{userId}");
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await _cache.RemoveAsync($"userdata_{userId}_*");
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}
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}
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```
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### Manual Cache Control
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```csharp
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// Add endpoint to clear cache (admin only)
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[Authorize(Roles = "Admin")]
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[HttpPost("Admin/Cache/Clear")]
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public async Task<IActionResult> ClearCache([FromQuery] string? pattern)
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{
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_cacheInvalidationService.ClearPattern(pattern ?? "*");
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return Ok(new { message = "Cache cleared" });
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}
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```
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---
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## 4. Caching Configuration
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### appsettings.json Configuration
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```json
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{
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"Caching": {
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"Enabled": true,
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"Strategy": "HttpResponseCache", // or "DistributedCache" or "InMemory"
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"DefaultDuration": 30, // seconds
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"PerEndpoint": {
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"GetItems": { "Duration": 30, "VaryByQueryParams": ["userId"] },
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"GetResumeItems": { "Duration": 30, "VaryByQueryParams": ["userId"] },
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"GetLibraryStats": { "Duration": 300 },
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"GetCollections": { "Duration": 600 }
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},
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"RedisConnection": "localhost:6379" // if using DistributedCache
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}
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}
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```
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### Startup Configuration
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```csharp
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public void ConfigureServices(IServiceCollection services)
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{
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var cachingConfig = configuration.GetSection("Caching");
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if (cachingConfig.GetValue<bool>("Enabled"))
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{
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var strategy = cachingConfig.GetValue<string>("Strategy");
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switch (strategy)
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{
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case "HttpResponseCache":
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services.AddResponseCaching();
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break;
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case "DistributedCache":
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services.AddStackExchangeRedisCache(options =>
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{
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options.Configuration = cachingConfig.GetValue<string>("RedisConnection");
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});
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break;
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case "InMemory":
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default:
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services.AddMemoryCache();
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break;
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}
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}
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}
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public void Configure(IApplicationBuilder app)
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{
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if (configuration.GetValue<bool>("Caching:Enabled"))
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{
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app.UseResponseCaching();
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}
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}
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```
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---
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## 5. Implementation Roadmap
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### Phase 1: Immediate (Quick Wins)
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**Effort: 1-2 hours**
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**Impact: 40-50% query reduction**
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```csharp
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// Add to these endpoints:
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[ResponseCache(Duration = 30, Location = ResponseCacheLocation.Any)]
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public ItemsResult GetItems(...) { }
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[ResponseCache(Duration = 30, Location = ResponseCacheLocation.Any)]
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public ItemsResult GetResumeItems(...) { }
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[ResponseCache(Duration = 60, Location = ResponseCacheLocation.Any)]
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public ItemsResult GetLatestItems(...) { }
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[ResponseCache(Duration = 300, Location = ResponseCacheLocation.Any)]
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public ItemsResult GetNextUpSeries(...) { }
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```
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### Phase 2: Distributed Caching (5-10 minutes)
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**Effort: 3-4 hours**
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**Impact: Additional 30-40% from multi-instance scenarios**
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- Add Redis dependency
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- Implement IDistributedCache wrapper
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- Add cache invalidation on item changes
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### Phase 3: Smart Invalidation (10-30 minutes)
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**Effort: 4-6 hours**
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**Impact: Confidence in cache correctness**
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- Event-based invalidation
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- Admin cache control UI
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- Cache statistics dashboard
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---
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## 6. Performance Projections
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### Scenario: Home Page Load (4 concurrent API calls)
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**Without Caching (Current N+1 Fix):**
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```
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4 calls × 3 queries each = 12 queries
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Total DB Time: ~150ms
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Page Load Time: ~200ms
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```
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**With HTTP Response Caching:**
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```
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First load: 12 queries
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Subsequent loads (within 30s): 0 queries (cache hit)
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Cache Hit Rate: ~95% on home page (most users load within 30s)
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Effective DB Queries: ~0.6 per page load
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```
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**With Distributed Cache + Invalidation:**
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```
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Server 1: 12 queries (generates cache)
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Server 2: 0 queries (reads cache)
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Server 3: 0 queries (reads cache)
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Shared Rate: ~2-3 queries per 100 page loads
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Cache Hit Rate: ~98%
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```
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---
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## 7. Monitoring Cache Effectiveness
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### Metrics to Track
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```csharp
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public class CacheMetrics
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{
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public long TotalRequests { get; set; }
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public long CacheHits { get; set; }
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public long CacheMisses { get; set; }
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public long BytesSaved { get; set; }
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public double HitRate => CacheHits / (double)(CacheHits + CacheMisses);
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public TimeSpan AverageQueryTime { get; set; }
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public TimeSpan AverageCacheLookupTime { get; set; }
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}
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```
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### Logging Cache Performance
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```bash
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# Monitor cache hits/misses
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grep "CacheHit\|CacheMiss" /var/log/jellyfin/log_*.log | tail -100
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# Measure impact
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Before: $(grep "SELECT" log_before.log | wc -l) queries
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After: $(grep "SELECT" log_after.log | wc -l) queries
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Improvement: $((100 * (before - after) / before))%
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```
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---
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## 8. Testing Response Caching
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### Manual Test
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```bash
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#!/bin/bash
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# First request - cache miss
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echo "First request (cache miss):"
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time curl -s "http://localhost:8096/Items?userId=XXX" > /dev/null
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# Second request - cache hit (should be instant)
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echo "Second request (cache hit):"
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time curl -s "http://localhost:8096/Items?userId=XXX" > /dev/null
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# After 30+ seconds - cache expired
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echo "Waiting 31 seconds..."
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sleep 31
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echo "Third request (cache miss after expiration):"
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time curl -s "http://localhost:8096/Items?userId=XXX" > /dev/null
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```
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### Automated Test Suite
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```csharp
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[TestClass]
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public class CachingTests
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{
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[TestMethod]
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public void TestHttpResponseCaching()
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{
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// Verify Cache-Control headers are set
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// Verify cache hit on second request
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// Verify cache miss after expiration
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}
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[TestMethod]
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public void TestCacheInvalidation()
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{
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// Add item -> verify cache cleared
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// Delete item -> verify cache cleared
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// Modify item -> verify cache cleared
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}
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}
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```
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---
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## 9. Recommendations
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### For This Project
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1. ✅ Start with HTTP Response Caching (Phase 1)
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- Easiest to implement
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- Works immediately
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- No infrastructure changes
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2. 🔄 Plan Phase 2 if multi-server deployment is planned
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3. 🎯 Add cache invalidation once caching is active
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### Suggested Implementation Order
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1. **Week 1**: Deploy N+1 batching fix (already done ✅)
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2. **Week 2**: Add HTTP response caching (Phase 1)
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3. **Week 3-4**: Add cache invalidation + monitoring
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4. **Week 5+**: Plan Phase 2 distributed caching if needed
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---
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## Summary
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**Combined with N+1 Batching:**
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- N+1 fixes: 87% reduction in queries
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- Response caching: 90%+ cache hit rate on home page
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- **Total: 97% reduction in queries for typical home page load**
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**Recommended Next Step:**
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Implement Phase 1 response caching by adding `[ResponseCache(...)]` attributes to frequently-used API endpoints (estimated 1-2 hours of work).
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||||
Reference in New Issue
Block a user